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Principles of Data Mining Undergraduate Topics in Computer Science
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Principles of Data Mining (Undergraduate Topics in ~ Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. This book explains and explores the principal techniques of Data Mining: for classification, generation of association rules and clustering.
Undergraduate Topics in Computer Science ~ Undergraduate Topics in Computer Science (UTiCS) delivers high-quality instructional content for un-dergraduates studying in all areas of computing and information science. From core foundational and theoretical material to final-year topics and applications, UTiCS books take a fresh, concise, and mod-
Principles of Data Mining (Undergraduate Topics in ~ Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus on algorithms rather than mathematical formalism.
Undergraduate Topics in Computer Science ~ contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. 9 8 7 6 5 4 3 2 1 Springer Science+Business Media springer Undergraduate Topics in Computer Science ISSN 1863-7310 École Polytechnique, France and King’s College London, UK . vi Principles of Data Mining Self .
(PDF) Principles of Data Mining - ResearchGate ~ Download full-text PDF. . computer science, and statistics. The book consists of three sections. The first, foundations, provides a tutorial overview of the principles underlying data mining .
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Principles of Data Mining / SpringerLink ~ Part of the Undergraduate Topics in Computer Science book series (UTICS) Chapters Table of contents (20 . Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and clustering. Each topic is clearly explained and illustrated by detailed worked examples, with a focus .
Principles of Data Mining / Max Bramer / Springer ~ It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help the general reader develop the necessary understanding to use .
Principles of Data Mining / Max Bramer / Springer ~ It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is .
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Data Mining - an overview / ScienceDirect Topics ~ Is Data Mining Evil? Further confounding the question of whether to acquire data mining technology is the heated debate regarding not only its value in the public safety community but also whether data mining reflects an ethical, or even legal, approach to the analysis of crime and intelligence data. The discipline of data mining came under fire in the Data Mining Moratorium Act of 2003.
Principles of Data Mining / SpringerLink ~ It can be used as a textbook to support courses at undergraduate or postgraduate levels in a wide range of subjects including Computer Science, Business Studies, Marketing, Artificial Intelligence, Bioinformatics and Forensic Science. As an aid to self study, this book aims to help general readers develop the necessary understanding of what is .
Principles of Data Mining / Max Bramer / Springer ~ This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering.
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Data Mining and Data Warehousing by Parteek Bhatia ~ The textbook is written to cater to the needs of undergraduate students of computer science, engineering and information technology for a course on data mining and data warehousing. The text simplifies the understanding of the concepts through exercises and practical examples.
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Computer Science / Principles of Data Mining / Macmillan ~ This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on classification, association rule mining and clustering. Each topic is clearly explained, with a focus on algorithms not mathematical formalism .
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